bama
BAMA: Build Any Mac App. Agent skills to research, clone, design, build, optimize, and test native macOS apps with Swift and SwiftUI.
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Free Claude skill that predicts your exam from your own lecture slides, past papers and Arabic lecture transcripts, and builds a study guide, model answers and optional Anki flashcards.
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スキルGitHub @SamDozerオンライン所有者未確認
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Free AI exam predictor & study-guide generator (Claude skill). Predicts your exam from your own slides, past papers and Arabic/English lecture transcripts, then gives model answers, how to answer for full marks, and optional Anki flashcards. Built for biology & Egyptian university exams.
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Loading the full README.
Read the full README ↗Predict the paper → build the study guide → learn how to answer it → (optionally) drill it until exam day.
Free AI exam predictor and study-guide generator for students. Give it your lecture slides, past papers and the doctor's notes. It tells you what the exam will most likely ask, how to answer it for full marks, and builds the study guide, all from your course material, not the internet.
Open the BtBio 413 midterm guide → (Infectious & Parasitic Diseases, Lectures 1–2). Built in one night from two lecture PDFs, two past midterms, five quizzes, class notes and a revision sheet, with an exam the next afternoon.
What makes it work, and what the skill now does by default (assets/guide-template.html, references/study-guide-design.md):
scripts/slide_images.py.| Predicted questions with model answers | Calculations solved step by step |
|---|---|
| Identification table for lab photos | One-page rapid revision sheet |
The example was made from the course's lab manuals, lecture transcripts and specimen photos, with an early version of the skill. The current version adds confidence tags on every prediction, the "how to answer" layer, per-doctor analysis and the formatting scan described below. The full HTML is in docs/examples/.
A Claude Skill that turns your own course material — the doctor's booklet, lecture slides, professor transcripts (English or Arabic), past papers (even phone photos), model answers, lab manuals, notes — into:
This is the beginning of the README. Read the rest at the original. Read the full README ↗